My Academic Resume
Here you can find a summary of my professional profile and expertise as a scientific researcher and R&D engineer.
Basics
| Name | Sidi Mohammed Kaddour |
| Label | R&D Engineer |
| sidi-mohammed.kaddour@imt-atlantique.fr | |
| Phone | +33 751 367 949 |
| Url | https://gitlab.inria.fr/sikaddou |
| Summary | Scientific researcher focused on feedback mechanisms for Edge-to-Cloud applications, adaptive systems, and monitoring. |
Work
-
2024.12 - 2026.11 R&D Engineer
STACK/INRIA
developing an extension for Ansible that integrates the coordination mechanisms of Concerto.
- Integrate Concerto with Ansible
-
2023.12 - 2024.11 R&D Engineer
STACK/IMT Atlantique
Research and development in Edge-to-Cloud continuum, including feedback mechanisms and Ansible integration.
- Developed adaptive feedback mechanisms
- Executed experiments on Grid’5000
-
2019.06 - 2019.08 Visiting PhD Student
Bournemouth University
Worked on smart energy solutions using machine learning.
-
2018.07 - 2023.09 Project Manager & Odoo Senior Developer
Groupe Kherbouche
Led ERP projects and customized Odoo modules for internal business processes.
-
2017.09 - 2020.09 Temporary University Teacher
University of Tlemcen
Taught Cloud Computing, Advanced OS, and Signal Processing.
Education
-
2016.11 - 2023.11 -
2014.09 - 2016.06 -
2011.09 - 2014.06 -
2008.09 - 2011.07
Certificates
| ISO 9001 Training | ||
| Groupe Kherbouche | 2022-01-01 |
| ISO 19011 Internal Auditor Certification | ||
| Groupe Kherbouche | 2022-01-01 |
| ITIL V4 Foundation Training | ||
| AXELOS | 2021-01-01 |
Publications
-
2023.10.01
Skills
| Programming | |
| Python | |
| Java | |
| C/C++ | |
| Delphi | |
| JavaScript |
| DevOps & Infra | |
| Docker | |
| Kubernetes | |
| Helm | |
| Ansible | |
| CI/CD |
| Observability | |
| Prometheus | |
| Grafana | |
| OpenTelemetry | |
| Zipkin | |
| Jaeger |
| Machine Learning | |
| Scikit-learn | |
| Keras | |
| KNIME |
Languages
| Arabic | |
| Fluent |
| English | |
| Proficient |
| French | |
| Intermediate |
Projects
- 2024.01 - 2024.12
Edge-to-Cloud Video Processing
Motion detection at edge and object recognition in cloud using YOLO, instrumented with feedback mechanisms.
- 2025.01 - Present
Ansible + Concerto Extension
Ansible module for dynamic software reconfiguration using Concerto models.